Triple
T7694920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pongo |
E174344
|
entity |
| Predicate | nativeTo |
P410
|
FINISHED |
| Object | Borneo |
E15167
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Borneo | Statement: [Pongo, nativeTo, Borneo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Borneo Context triple: [Pongo, nativeTo, Borneo]
-
A.
Borneo
chosen
Borneo is the world’s third-largest island in Southeast Asia, known for its vast rainforests, rich biodiversity, and division among Indonesia, Malaysia, and Brunei.
-
B.
Borneo Island
Borneo Island is a modern residential island in Amsterdam’s Eastern Docklands, known for its contemporary architecture and waterfront urban design.
-
C.
Kalimantan
Kalimantan is the Indonesian portion of the island of Borneo, known for its vast rainforests, rich biodiversity, and significant natural resources.
-
D.
northern Borneo
Northern Borneo is the upper portion of the island of Borneo, encompassing parts of modern-day Malaysia and Brunei and known for its dense rainforests, rich biodiversity, and indigenous communities.
-
E.
Sumatra
Sumatra is a large Indonesian island in western Indonesia known for its rich biodiversity, active volcanoes, and significant role in regional trade and history.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c6995966348190939e6c37ba272c06 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c70266b9bc8190a47e65967e4b1df8 |
completed | March 27, 2026, 10:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8ac925a6c8190aa7a4fe4f580d14f |
completed | March 29, 2026, 4:37 a.m. |
Created at: March 27, 2026, 4:02 p.m.